Zobrazeno 1 - 10
of 233
pro vyhledávání: '"Lin, Chin Yew"'
Autor:
Jiang, Huiqiang, Li, Yucheng, Zhang, Chengruidong, Wu, Qianhui, Luo, Xufang, Ahn, Surin, Han, Zhenhua, Abdi, Amir H., Li, Dongsheng, Lin, Chin-Yew, Yang, Yuqing, Qiu, Lili
The computational challenges of Large Language Model (LLM) inference remain a significant barrier to their widespread deployment, especially as prompt lengths continue to increase. Due to the quadratic complexity of the attention computation, it take
Externí odkaz:
http://arxiv.org/abs/2407.02490
Autor:
Yu, Yijiong, Jiang, Huiqiang, Luo, Xufang, Wu, Qianhui, Lin, Chin-Yew, Li, Dongsheng, Yang, Yuqing, Huang, Yongfeng, Qiu, Lili
Large Language Models (LLMs) are increasingly applied in various real-world scenarios due to their excellent generalization capabilities and robust generative abilities. However, they exhibit position bias, also known as "lost in the middle", a pheno
Externí odkaz:
http://arxiv.org/abs/2406.02536
A well-executed graphic design typically achieves harmony in two levels, from the fine-grained design elements (color, font and layout) to the overall design. This complexity makes the comprehension of graphic design challenging, for it needs the cap
Externí odkaz:
http://arxiv.org/abs/2404.14801
Autor:
Pan, Zhuoshi, Wu, Qianhui, Jiang, Huiqiang, Xia, Menglin, Luo, Xufang, Zhang, Jue, Lin, Qingwei, Rühle, Victor, Yang, Yuqing, Lin, Chin-Yew, Zhao, H. Vicky, Qiu, Lili, Zhang, Dongmei
This paper focuses on task-agnostic prompt compression for better generalizability and efficiency. Considering the redundancy in natural language, existing approaches compress prompts by removing tokens or lexical units according to their information
Externí odkaz:
http://arxiv.org/abs/2403.12968
Autor:
Weng, Haohan, Huang, Danqing, Qiao, Yu, Hu, Zheng, Lin, Chin-Yew, Zhang, Tong, Chen, C. L. Philip
Templates serve as a good starting point to implement a design (e.g., banner, slide) but it takes great effort from designers to manually create. In this paper, we present Desigen, an automatic template creation pipeline which generates background im
Externí odkaz:
http://arxiv.org/abs/2403.09093
Layout generation is a critical step in graphic design to achieve meaningful compositions of elements. Most previous works view it as a sequence generation problem by concatenating element attribute tokens (i.e., category, size, position). So far the
Externí odkaz:
http://arxiv.org/abs/2401.16375
Autor:
Li, Yuhan, Wu, Jian, Yu, Zhiwei, Karlsson, Börje F., Shen, Wei, Okumura, Manabu, Lin, Chin-Yew
Extracting key information from scientific papers has the potential to help researchers work more efficiently and accelerate the pace of scientific progress. Over the last few years, research on Scientific Information Extraction (SciIE) witnessed the
Externí odkaz:
http://arxiv.org/abs/2311.08189
Autor:
Jiang, Huiqiang, Wu, Qianhui, Luo, Xufang, Li, Dongsheng, Lin, Chin-Yew, Yang, Yuqing, Qiu, Lili
In long context scenarios, large language models (LLMs) face three main challenges: higher computational cost, performance reduction, and position bias. Research indicates that LLM performance hinges on the density and position of key information in
Externí odkaz:
http://arxiv.org/abs/2310.06839
Large language models (LLMs) have been applied in various applications due to their astonishing capabilities. With advancements in technologies such as chain-of-thought (CoT) prompting and in-context learning (ICL), the prompts fed to LLMs are becomi
Externí odkaz:
http://arxiv.org/abs/2310.05736
Autor:
Huang, Danqing, Guo, Jiaqi, Sun, Shizhao, Tian, Hanling, Lin, Jieru, Hu, Zheng, Lin, Chin-Yew, Lou, Jian-Guang, Zhang, Dongmei
Graphic design is an effective language for visual communication. Using complex composition of visual elements (e.g., shape, color, font) guided by design principles and aesthetics, design helps produce more visually-appealing content. The creation o
Externí odkaz:
http://arxiv.org/abs/2309.01371